Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (BuildSys, 2019)

Defining a synthetic data generator for realistic electric vehicle charging sessions. - Manu Lahariya; Dries F. Benoit; Chris Develder (e-Energy, 2020)

Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. - Manu Lahariya; Craig Innes; Chris Develder; Subramanian Ramamoorthy (IROS, 2022)

Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (CoRR, 2022)

Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning. - Manu Lahariya; Nasrin Sadeghianpourhamami; Chris Develder (CoRR, 2022)

Physics Informed LSTM Network for Flexibility Identification in Evaporative Cooling Systems. - Manu Lahariya; Farzaneh Karami; Chris Develder; Guillaume Crevecoeur (CoRR, 2022)

ML framework for global river flood predictions based on the Caravan dataset. - Ioanna Bouri; Manu Lahariya; Omer Nivron; Enrique Portales Julia; Dietmar Backes; Piotr Bilinski; Guy Schumann (CoRR, 2022)

Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households. - Gargya Gokhale; Niels Tiben; Marie-Sophie Verwee; Manu Lahariya; Bert Claessens; Chris Develder (BuildSys, 2023)

Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System. - Manu Lahariya; Farzaneh Karami; Chris Develder; Guillaume Crevecoeur (IEEE Trans. Ind. Informatics, 2023)